Evidence map›Paper›PMID 36147962›Full record

ArticleiScience2022

Empirical test of the many-wrongs hypothesis reveals weighted averaging of individual routes in pigeon flocks.

Takao Sasaki, Naoki Masuda, Richard P Mann, Dora Biro

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. An associative account of collective learning.Royal Society open science · 2025
    Article
  5. Article
  6. Article
  7. Mechanisms of collective learning: how can animal groups improve collective performance when repeating a task?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Takao SasakiOdum School of Ecology, University of Georgia, Athens, GA 30602, USA.
Naoki MasudaDepartment of Mathematics, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Richard P MannDepartment of Statistics, University of Leeds, Leeds LS2 9JT, UK.
Dora BiroDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
University at Buffalo, State University of New York · USUniversity of Georgia · USUniversity of Leeds · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/S032525/1
6 · The paper itself

Abstract

The 'many-wrongs hypothesis' predicts that groups improve their decision-making performance by aggregating members' diverse opinions. Although this has been considered one of the major benefits of collective movement and migration, whether and how multiple inputs are in fact aggregated for superior directional accuracy has not been empirically verified in non-human animals. Here we showed that larger homing pigeon flocks had significantly more efficient (i.e. shorter) homing routes than smaller flocks, consistent with previous findings and with the predictions of the many-wrongs hypothesis. However, detailed analysis showed that flock routes were not simply averages of individual routes, but instead that pigeons that more faithfully recapitulated their routes during individual flights had a proportionally greater influence on their flocks' routes. We discuss the implications of our results for possible mechanisms of collective learning as well as for the definition of leadership in animals solving navigational tasks collectively.

Indexed as

Biological sciencesEcologyEthologyZoology

Identifiers

PMID36147962
PMCPMC9485075
OpenAlexW4294579993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.